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Rates of convergence to normality

dc.contributor.authorLeslie, Julian Robert
dc.date.accessioned2017-11-03T05:50:41Z
dc.date.available2017-11-03T05:50:41Z
dc.date.copyright1974
dc.date.issued1974
dc.date.updated2017-10-17T00:55:12Z
dc.description.abstractThis study falls into two parts: in the first part (Chapters 2, 2A and 3) we examine the Chebyshev expansion for the distribution function of normed sums of independent random variables and in the second part (Chapters 4 and 5) we apply some convergence rate results from independent random variable theory to two types of branching process and we obtain some analogues of the classical limit laws.en_AU
dc.identifier.otherb1015780
dc.identifier.urihttp://hdl.handle.net/1885/133186
dc.language.isoenen_AU
dc.subject.lcshDistribution (Probability theory)
dc.subject.lcshConvergence
dc.titleRates of convergence to normalityen_AU
dc.typeThesis (PhD)en_AU
dcterms.valid1974en_AU
local.contributor.affiliationDepartment of Statistics, School of General Studies, The Australian National Universityen_AU
local.contributor.supervisorHeyde, C. C.
local.description.notesThesis (Ph.D.)--Australian National University, 1974. This thesis has been made available through exception 200AB to the Copyright Act.en_AU
local.identifier.doi10.25911/5d723c0214db4
local.identifier.proquestYes
local.mintdoimint
local.type.degreeDoctor of Philosophy (PhD)en_AU

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